---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter7_sftsd0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# collapse_gemma-2-2b_hs2_replace_iter7_sftsd0

This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5953
- Num Input Tokens Seen: 7903776

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log        | 0      | 0    | 1.3956          | 0                 |
| 1.682         | 0.0315 | 5    | 1.3074          | 243600            |
| 1.1958        | 0.0630 | 10   | 1.2384          | 489576            |
| 0.8251        | 0.0945 | 15   | 1.3304          | 736640            |
| 0.5381        | 0.1260 | 20   | 1.4985          | 987872            |
| 0.2729        | 0.1575 | 25   | 1.6796          | 1238504           |
| 0.2581        | 0.1890 | 30   | 1.8457          | 1493072           |
| 0.1176        | 0.2205 | 35   | 2.0106          | 1744312           |
| 0.0711        | 0.2520 | 40   | 2.1725          | 1992528           |
| 0.05          | 0.2835 | 45   | 2.2581          | 2243824           |
| 0.0473        | 0.3150 | 50   | 2.3984          | 2490888           |
| 0.0535        | 0.3465 | 55   | 2.4441          | 2740728           |
| 0.032         | 0.3780 | 60   | 2.4463          | 2979648           |
| 0.0318        | 0.4094 | 65   | 2.4594          | 3231056           |
| 0.0359        | 0.4409 | 70   | 2.4814          | 3481768           |
| 0.0294        | 0.4724 | 75   | 2.5039          | 3739344           |
| 0.0275        | 0.5039 | 80   | 2.4899          | 3999888           |
| 0.0298        | 0.5354 | 85   | 2.4773          | 4250720           |
| 0.0296        | 0.5669 | 90   | 2.5022          | 4506360           |
| 0.0243        | 0.5984 | 95   | 2.5058          | 4764496           |
| 0.027         | 0.6299 | 100  | 2.5154          | 5009024           |
| 0.0268        | 0.6614 | 105  | 2.5056          | 5257688           |
| 0.0292        | 0.6929 | 110  | 2.5422          | 5501784           |
| 0.0297        | 0.7244 | 115  | 2.5510          | 5757400           |
| 0.0266        | 0.7559 | 120  | 2.5546          | 6003016           |
| 0.0255        | 0.7874 | 125  | 2.5727          | 6255120           |
| 0.0258        | 0.8189 | 130  | 2.5746          | 6501384           |
| 0.0282        | 0.8504 | 135  | 2.5777          | 6752008           |
| 0.0303        | 0.8819 | 140  | 2.5688          | 7004584           |
| 0.0259        | 0.9134 | 145  | 2.5679          | 7258288           |
| 0.0244        | 0.9449 | 150  | 2.5847          | 7508928           |
| 0.024         | 0.9764 | 155  | 2.5936          | 7755344           |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1